Nonparametric Methods Statistics Sas by Korosteleva Olga (24 results)

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Published by CRC Press, 2013
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Published by CRC Press, 2013
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Hardcover. Condition: new. Hardcover. Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, dens…ity estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the authors many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the authors website. This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event analysis, density estimation, and resampling methods. SAS codes for all examples are given in the text. Data sets for the exercises are available. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Language: English
Published by Chapman and Hall/CRC, 2017
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Language: English
Published by Taylor & Francis, 2017
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Language: English
Published by Taylor & Francis Ltd, London, 2017
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Hardcover. Condition: new. Hardcover. Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, dens…ity estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the authors many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the authors website. This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event analysis, density estimation, and resampling methods. SAS codes for all examples are given in the text. Data sets for the exercises are available. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Language: English
Published by Taylor & Francis Group, 2013
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 27 of 59. Book 27 of 59 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Nonparametric Methods in Statistics with SAS Applications
Olga Korosteleva (California State University, Long Beach, USA)
Language: English
Published by CRC Press, 2013
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 27 of 59. Book 27 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Olga Korosteleva is an associate professor of statistics in the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received a Ph.D. in statistics…from Purdue University.Designe.

Language: English
Published by Chapman and Hall/CRC, 2013
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 27 of 59. Book 27 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Taschenbuch. Condition: Neu. Nonparametric Methods in Statistics with SAS Applications | Olga Korosteleva | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Chapman and Hall/CRC | EAN 9781466580626 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: pre…igu Print on Demand.

Language: English
Published by Chapman And Hall/CRC, 2013
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 27 of 59. Book 27 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event analysis, density estimation, and resampling methods. SAS codes for all examples are given in the…text. Data sets for the exercises are available.

Language: English
Published by CRC Press, 2017
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 27 of 59. Book 27 of 59 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
- Print on Demand
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Olga Korosteleva is an associate professor of statistics in the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received a Ph.D. in statistics from Purdue Uni…versity.Designed for a graduate .